AEPH
Home > Industry Science and Engineering > Vol. 1 No. 5 (ISE 2024) >
Research on Mixed Reality Experience Models Driven by Generative Artificial Intelligence
DOI: https://doi.org/10.62381/I245508
Author(s)
Le Zheng, Xuan Li
Affiliation(s)
Xi’an Eurasia University, Xi'an, Shaanxi, China
Abstract
In today's era of rapid technological advancement, Generative Artificial Intelligence (AIGC) and Mixed Reality (MR), as two significant technologies at the forefront of innovation, are transforming our ways of life and work at an astonishing pace. Research on the integration of AIGC and MR, focusing on new technologies and application methods, is increasingly becoming a new trend. This paper reviews the development of AIGC and MR technologies, explores the technical principles and application methods of AIGC in Mixed Reality (MR), and proposes specific design solutions for MR experience models driven by AIGC. These efforts aim to provide new perspectives for AIGC-driven MR solution models and to explore more possibilities for the development of digital media technologies.
Keywords
AIGC; MR; Mixed Reality; Artificial Intelligence
References
[1] Lu Siyi. Beyond Boundaries—Applications and Prospects of MR Technology in Contemporary Art Exhibitions. Screen Printing, 2024(06): 112-115. DOI:10.20084/j.cnki.1002-4867.2024.06.032. [2] Liu Yunli, Liang Dong, Chang Lin, et al. Redefining the Boundaries of In-Depth Reporting in the AIGC Era. Media, 2024(12): 20-22. [3] Qu Enxi. Research on AIGC Information Falsehood in the Era of Social Media. Dongbei University of Finance and Economics, 2023. DOI:10.27006/d.cnki.gdbcu.2023.000233. [4] Tai Yuquan. Application of Generative AI Technology in News Creation. Television Technology, 2024, 48(07): 103-105. DOI:10.16280/j.videoe.2024.07.025. [5] Xing Xiangying. Development and Current Status of MR Technology and Its Applications in Education. China Modern Educational Equipment, 2024(06): 31-33. DOI:10.13492/j.cnki.cmee.2024.06.011. [6] Yuan Yishuai. Application of Mixed Reality Technology in the Broadcasting and Television Industry. Television Technology, 2024, 48(07): 109-111. DOI:10.16280/j.videoe.2024.07.027. [7] Zhou Na. Key Technologies of Mixed Reality-Based Surgical Navigation. North China University of Technology, 2022. DOI:10.26926/d.cnki.gbfgu.2021.000047. [8] Zhang Tongyue. Practical Research on AIGC Technology Empowering Digital Media Art Creation. Shanghai Conservatory of Music, 2024. DOI:10.27319/d.cnki.gsyyy.2024.000132.
Copyright @ 2020-2035 Academic Education Publishing House All Rights Reserved